Senior Clinical Programmer – Contractor

Arcus Biosciences

Senior Clinical Programmer responsible for data review, reconciliation, and programming SDTM deliverables at Arcus Biosciences. Collaborating with various stakeholders to ensure data integrity and compliance.

Posted 6/23/2026contractRemote • 🇺🇸 United StatesSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SASUnix scriptsAI toolsR functions/packagesSDTMCDISCdata reconciliationdata reviewdata transfer specificationsbiometric department operational processes

Soft Skills

stakeholder managementnegotiationadaptabilityfit-for-purpose mindset

Certifications & Qualifications

Bachelor’s degreeMaster’s degree

Industry Keywords

biotechnologypharmaceuticalimmuno-oncologydata standardsnon-CRF databiomarkerPK/PDpharmacovigilance

Tech Stack

Tools & technologies

Unix

About the role

Key responsibilities & impact

Support of team data review, data reconciliation and edit checks, and programming submission ready SDTM deliverables.
Build and execute programs for internal data reviews, data reconciliation, and edit checks.
Assist in developing/maintaining clinical programming related standards and tools.
Work with data management to review case report forms, database specifications and similar documents.
Develop data transfer specifications and manage the transfer of external data.
Program SDTM datasets and produce related CDISC deliverables such as aCRF, define.xml, reviewer’s guide, etc.
Perform stakeholder management, negotiating timelines and scope of deliverables.
Participate in standards governance and developing biometric department operational processes.

Requirements

What you’ll need

Bachelor’s or Master’s degree in a data science field, e.g., statistics, mathematics, epidemiology, computer science, bioinformatics, or another field with commensurate levels of experience
Minimum 4+ years of biotechnology or pharmaceutical experience, with (immuno-) oncology experience preferred.
Good programming experience in SAS.
Experience with other software languages (e.g., Unix scripts , AI tools, R functions/packages, etc).
Good knowledge of CDISC data standards (CDASH, SDTM).
Good knowledge of data standards and demonstrated experience in the handling of non-CRF data including proven ability to work with diverse data types, such as biomarker, PK/PD, pharmacovigilance, etc.
Demonstrated ability to rapidly adapt to changing project and strategic requirements.
Takes a fit-for-purpose mindset to daily work as well as long-term vision.

Benefits

Comp & perks

Remote work options